Research engineer for stochastic simulation methods

Job Description

Inria team MIMESIS associated to the iCube laboratory at the University of Strasbourg invites applications for the full-time position of a research engineer​. The successful candidate will work in a close collaboration with other team members focusing on the exciting topic combining the state-of-the-art biomechanical modeling techniques with the stochastic estimation of parameters. The project will be conducted in the context of ​ computer-aided surgical navigation employing physics-based models to facilitate the guidance directly during the operation. For example, the augmented-reality techniques employing a patient-specific biomechanical model reconstructed from preoperative data are currently experimented to navigate the surgeon in order to accelerate and improve the localization of the target region containing the tumor. We are seeking candidates with ​ excellent programming skills​ , capable of integrating new functionalities in a large simulation framework implemented in C++ and Python. Beside the development of novel methods of stochastic simulations, the successful candidate will be also directly involved in the ​ acquisition and processing of medical data in collaboration with our clinical partners. Therefore, a previous experience with medical image processing (such as segmentation, registration and tracking) is an asset. The ​ 1-year position is aimed to start early 2018, within the MIMESIS team, in the context of project IdEx (Initiative d’Excellence).

Requested skills and qualifications

This engineer position requires the following skills:

Master in applied computer science or applied mathematics is required

Excellent expertise in C++ and Python

Capability of understanding scientific papers and implementing algorithms from the literature

Readiness for helping with acquisition and processing of medical images

The position is open immediately until filled, with applications being reviewed on an ongoing basis. Candidates should send electronically a statement of motivation, their curriculum vitae with a publication list and URLs to two selected publications available online. The compiled material should be sent in PDF format to Igor [dot] Peterlik [at] inria [dot] fr​

About SOFA

SOFA is an open-source framework targeting at real-time simulation, with an emphasis on medical simulation.